As proposed and demonstrated by the Los Alamos team, the architectures and techniques proposed to mitigate or altogether ...

A new hardware-software co-design increases AI energy efficiency and reduces latency, enabling real-time processing of ...

A new hybrid AI model improves lung cancer detection on CT scans, achieving over 96% accuracy for early tumour identification ...

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...

Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...

Every year, the Earth shakes thousands of times. Most of those tremors go unnoticed, felt only by sensitive instruments ...

Abstract: Early detection of skin cancer (SC) is paramount for effective treatment. Although convolutional neural networks (CNN) have facilitated automated learning of high-level features from ...

There is a version of the artificial intelligence story that some may say began with ChatGPT, or perhaps with the smartphone, ...

The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...

Abstract: Graph convolutional networks (GCNs) have attracted significant attention in the field of multi-view learning, as they effectively extract intricate information from diverse features.

Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.

A new holographic storage technique uses light in three dimensions to dramatically increase how much data can be stored. It encodes information throughout a material using amplitude, phase, and ...